Skip to main content

Utility for examining python source files to ensure proper documentation. Lists missing docstrings, and calculates overall docstring coverage percentage rating.

Project description

docstr-coverage

Documentation Status PyPI Python Version Download count

docstr-coverage is a simple tool that lets you measure your Python source code's docstring coverage. It shows which of your functions, classes, methods, and modules don't have docstrings. It also provide statistics about overall docstring coverage for individual files, and for your entire project.

Example

>>> HunterMcGushion$ docstr-coverage /docstr_coverage/

File: "docstr_coverage/setup.py"
 - No module docstring
 - No docstring for `readme`
 Needed: 2; Found: 0; Missing: 2; Coverage: 0.0%

File: "docstr_coverage/docstr_coverage/__init__.py"
 - No module docstring
 Needed: 1; Found: 0; Missing: 1; Coverage: 0.0%

File: "docstr_coverage/docstr_coverage/coverage.py"
 - No docstring for `DocStringCoverageVisitor.__init__`
 Needed: 11; Found: 10; Missing: 1; Coverage: 90.9%


Overall statistics for 3 files:
Docstrings needed: 14; Docstrings found: 10; Docstrings missing: 4
Total docstring coverage: 71.4%;  Grade: Very good

How Do I Use It

Command-line Tool

General usage is: docstr-coverage <path to dir or module> [options]

To test a single module, named some_module.py, run:

docstr-coverage some_module.py

To test a directory (recursively), just supply the directory some_project/src instead:

docstr-coverage some_project/src

Options

  • --skip-magic, -m - Ignore all magic methods (except __init__)
  • --skip-init, -i - Ignore all __init__ methods
  • --skip-file-doc, -f - Ignore module docstrings (at the top of files)
  • --skip-private, -P - Ignore private functions (starting with a single underscore)
  • --skip-class-def, -c - Ignore docstrings of class definitions
  • --skip-property, -sp - Ignore functions with @property decorator
  • --include-setter, -is - Include functions with @setter decorator (skipped by default)
  • --include-deleter, -idel - Include functions with @deleter decorator (skipped by default)
  • --accept-empty, -a - Exit with code 0 if no Python files are found (default: exit code 1)
  • --exclude=<regex>, -e <regex> - Filepath pattern to exclude from analysis
    • To exclude the contents of a virtual environment env and your tests directory, run: docstr-coverage some_project/ -e ".*/(env|tests)"
  • --verbose=<level>, -v <level> - Set verbosity level (0-3, default: 3)
    • 0 - Silence
    • 1 - Print overall statistics
    • 2 - Also print individual statistics for each file
    • 3 - Also print missing docstrings (function names, class names, etc.)
    • 4 - Also print information about present docstrings
  • --fail-under=<int|float>, -F <int|float> - Fail if under a certain percentage of coverage (default: 100.0)
  • --badge=<filepath>, -b <filepath> - Generate a docstring coverage percent badge as an SVG saved to a given filepath
    • Include the badge in a repo's README using [![docstr_coverage](<filepath/of/your/saved/badge.svg>)](https://github.com/HunterMcGushion/docstr_coverage), where <filepath/of/your/saved/badge.svg> is the path provided to the --badge option
  • --follow-links, -l - Follow symlinks
  • --percentage-only, -p - Output only the overall coverage percentage as a float, silencing all other logging
  • --help, -h - Display CLI options

Config File

All options can be saved in a config file. A file named .docstr.yaml in the folder in which docstr-coverage is executed is picked up automatically. Other locations can be passed using docstr-coverage -C path/to/config.yml or the long version --config.

Example:

paths: # list or string
  - docstr_coverage
badge: docs # Path
exclude: .*/test # regex
verbose: 3 # int (0-4)
skip_magic: True # Boolean
skip_file_doc: True # Boolean
skip_init: True # Boolean
skip_class_def: True # Boolean
skip_private: True # Boolean
follow_links: True # Boolean
accept_empty: True # Boolean
ignore_names_file: .*/test # regex
fail_under: 90 # int 
percentage_only: True # Boolean
ignore_patterns: # Dict with key/value pairs of file-pattern/node-pattern
  .*: method_to_ignore_in_all_files
  FileWhereWeWantToIgnoreAllSpecialMethods: "__.+__"
  SomeFile:
    - method_to_ignore1
    - method_to_ignore2
    - method_to_ignore3
  a_very_important_view_file:
    - "^get$"
    - "^set$"
    - "^post$"
  detect_.*:
    - "get_val.*"

equivalent to

docstr-coverage docstr_coverage -e ".*/test" --skip-magic --skip-init --badge="docs" --skip-class-def etc...

Note that options passed as command line arguments have precedence over options configured in a config file.

Ignoring by Regex

In your config files, using ignore_patterns, you can specify regex patterns for files names and nodes (methods, ...) which should be ignored. See config file example above.

Overriding by Comments

Note that docstr-coverage can not parse dynamically added documentation (e.g. through class extension). Thus, some of your code which deliberately has no docstring might be counted as uncovered.

You can override this by adding either # docstr-coverage:inherited (intended for use if a docstring is provided in the corresponding superclass method) or a generic excuse with a reason, like # docstr-coverage:excused `My probably bad excuse` . These have to be stated right above any class or function definition (or above the functions annotations, if applicable). Such class or function would then be counted as if they had a docstring.

# docstr-coverage:excused `no one is reading this anyways`
class FooBarChild(FooBar):

    # docstr-coverage:inherited
    def function(self):
        pass

Pre-commit hook

You can use docstr-coverage as a pre-commit hook by adding the following to your .pre-commit-config.yaml file and configuring the paths section of the .docstr.yaml config. This is preferrable over pre-commit args, as it facilitates the use of the same config in CI, pre-commit and manual runs.

repos:
  - repo: https://github.com/HunterMcGushion/docstr_coverage
    rev: v2.3.0 # most recent docstr-coverage release or commit sha
    hooks:
      - id: docstr-coverage
        args: ["--verbose", "2"] # override the .docstr.yaml to see less output

Package in Your Project

You can also use docstr-coverage as a part of your project by importing it thusly. It will supply you with overall and per-file coverages:

from docstr_coverage import get_docstring_coverage
my_coverage = get_docstring_coverage(['some_dir/file_0.py', 'some_dir/file_1.py'])

If you want more fine grained information, try the experimental docstr_coverage.analyze()

from docstr_coverage import analyze
coverage_report = analyze(['some_dir/file_0.py', 'some_dir/file_1.py'])
coverage = coverage_report.count_aggregate().coverage()

Why Should I Use It

  • Thorough documentation is important to help others (and even yourself) understand your code
  • As a developer, improve your code's maintainability for when you need to make updates and fix bugs
  • As a user, instantly know how easy it's going to be to understand a new library * If its documentation coverage is low, you may need to figure a lot out for yourself

Installation

pip install docstr-coverage

If you like being on the cutting-edge, and you want all the latest developments, run:

pip install git+https://github.com/HunterMcGushion/docstr_coverage.git

Special Thanks

Thank you to Alexey "DataGreed" Strelkov, and James Harlow for doing all the hard work. docstr-coverage simply revives and brings their efforts to Python 3. See 'THANKS.txt' for more information.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

docstr-coverage-2.3.0.tar.gz (26.6 kB view details)

Uploaded Source

Built Distribution

docstr_coverage-2.3.0-py3-none-any.whl (25.7 kB view details)

Uploaded Python 3

File details

Details for the file docstr-coverage-2.3.0.tar.gz.

File metadata

  • Download URL: docstr-coverage-2.3.0.tar.gz
  • Upload date:
  • Size: 26.6 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.16

File hashes

Hashes for docstr-coverage-2.3.0.tar.gz
Algorithm Hash digest
SHA256 a8a1943ce476123706c8f0d30000b7f6e153a4c41ccd2dfe56daffa8ff540c4b
MD5 24efa4fb693efcb2f3657b0d34c40cf4
BLAKE2b-256 72dc11f051ee70b802c0713d5ad8f27305502117d2a13825dfaade8819ae60fb

See more details on using hashes here.

Provenance

File details

Details for the file docstr_coverage-2.3.0-py3-none-any.whl.

File metadata

  • Download URL: docstr_coverage-2.3.0-py3-none-any.whl
  • Upload date:
  • Size: 25.7 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.8.0 pkginfo/1.8.2 readme-renderer/34.0 requests/2.27.1 requests-toolbelt/0.9.1 urllib3/1.26.9 tqdm/4.63.0 importlib-metadata/4.11.3 keyring/23.5.0 rfc3986/2.0.0 colorama/0.4.4 CPython/3.9.16

File hashes

Hashes for docstr_coverage-2.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 1db42156fc521696ae9264b8290647048f79ac81d0b5866e933d5ef891d06cf2
MD5 c1106488d765c52db4129c01e8097bd8
BLAKE2b-256 40eb66cced711cfd90cde3db896d922959280caeff9ffa1ac0d389e165f8128d

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page